Yadu N. Babuji

According to our database, Yadu N. Babuji authored at least 40 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving.

Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li

CoRR, 2024

2023

The Changing Role of RSEs over the Lifetime of Parsl.

Daniel S. Katz, Ben Clifford, Yadu N. Babuji, Kevin Hunter Kesling, Anna Woodard, Kyle Chard

CoRR, 2023

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.

Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis.

Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

ProPack: Executing Concurrent Serverless Functions Faster and Cheaper.

Rohan Basu Roy, Tirthak Patel, Richmond Liew, Yadu Nand Babuji, Ryan Chard, Devesh Tiwari

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022

$f$funcX: Federated Function as a Service for Science.

Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard

IEEE Trans. Parallel Distributed Syst., 2022

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.

Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens

J. Chem. Inf. Model., 2022

funcX: Federated Function as a Service for Science.

Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard

CoRR, 2022

Extended Abstract: Productive Parallel Programming with Parsl.

Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz

CoRR, 2022

HiPS2022: The 2nd Workshop on High Performance Serverless Computing.

Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021

DLHub: Simplifying publication, discovery, and use of machine learning models in science.

Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster

J. Parallel Distributed Comput., 2021

ExaWorks: Workflows for Exascale.

Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Justin M. Wozniak

CoRR, 2021

Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening.

Austin Clyde, Thomas S. Brettin, Alexander Partin, Hyun Seung Yoo, Yadu N. Babuji, Ben Blaiszik, André Merzky, Matteo Turilli, Shantenu Jha, Arvind Ramanathan, Rick Stevens

CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak

CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak

CoRR, 2021

ExaWorks: Workflows for Exascale.

Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Thomas D. Uram, Justin M. Wozniak

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing.

Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications.

Tim Shaffer, Zhuozhao Li, Ben Tovar, Yadu N. Babuji, T. J. Dasso, Zoe Surma, Kyle Chard, Ian T. Foster, Douglas Thain

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments.

Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.

Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

Extreme Scale Survey Simulation with Python Workflows.

Antonio Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann

Proceedings of the 17th IEEE International Conference on eScience, 2021

Federated Function as a Service for eScience.

Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li

Proceedings of the 17th IEEE International Conference on eScience, 2021

2020

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release.

Yadu N. Babuji, Ben Blaiszik, Tom Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Ian T. Foster, Zhi Hong, Shantenu Jha, Zhuozhao Li, Xuefeng Liu, Arvind Ramanathan, Yi Ren, Nicholaus Saint, Marcus Schwarting, Rick Stevens, Hubertus Van Dam, Rick Wagner

CoRR, 2020

funcX: A Federated Function Serving Fabric for Science.

Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

Serverless Supercomputing: High Performance Function as a Service for Science.

Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard

CoRR, 2019

Publishing and Serving Machine Learning Models with DLHub.

Ryan Chard, Logan T. Ward, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Kyle Chard, Ben Blaiszik, Ian T. Foster

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Scalable Parallel Programming in Python with Parsl.

Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Ian T. Foster, Michael Wilde, Kyle Chard

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Serverless Workflows for Indexing Large Scientific Data.

Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster

Proceedings of the 5th International Workshop on Serverless Computing, 2019

DLHub: Model and Data Serving for Science.

Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Parsl: Pervasive Parallel Programming in Python.

Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

ParaOpt: Automated Application Parameterization and Optimization for the Cloud.

Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

2018

Parsl: Scalable Parallel Scripting in Python.

Yadu N. Babuji, Kyle Chard, Ian T. Foster, Daniel S. Katz, Mike Wilde, Anna Woodard, Justin M. Wozniak

Proceedings of the 10th International Workshop on Science Gateways, 2018

2017

Enabling Interactive Analytics of Secure Data using Cloud Kotta.

Yadu N. Babuji, Kyle Chard, Eamon Duede

CoRR, 2017

Web of Science™ as a Research Dataset.

Katy Börner, Valentin Pentchev, Matthew Hutchinson, James Pringle, Jason Rollins, Yadu N. Babuji, Eamon Duede

Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017

Evaluating Distributed Execution of Workloads.

Matteo Turilli, Yadu Nand Babuji, André Merzky, Ming Tai Ha, Michael Wilde, Daniel S. Katz, Shantenu Jha

Proceedings of the 13th IEEE International Conference on e-Science, 2017

Safe Collections and Stewardship on Cloud Kotta.

Yadu N. Babuji, Kyle Chard, Eamon Duede, Ian T. Foster

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016

Application Skeleton: Generating Synthetic Applications for Infrastructure Research.

Zhao Zhang, Daniel S. Katz, André Merzky, Matteo Turilli, Shantenu Jha, Yadu Nand Babuji

J. Open Source Softw., 2016

Analysis of Distributed Execution of Workloads.

Matteo Turilli, Yadu Nand Babuji, André Merzky, Ming Tai Ha, Michael Wilde, Daniel S. Katz, Shantenu Jha

CoRR, 2016

A secure data enclave and analytics platform for social scientists.

Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede

Proceedings of the 12th IEEE International Conference on e-Science, 2016

Cloud Kotta: Enabling secure and scalable data analytics in the cloud.

Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016